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Hamdani, Maria Riaz; Wallin, Ann; Ashkanasy, Neal M.; Fenton-O'Creevy, Mark – Journal of Management Education, 2023
In this essay, we focus on methodological issues that reviewers and editors commonly encounter when evaluating empirical articles in scholarship of teaching and learning in management education. We organize our discussion around three stages--design, analysis, and reporting. The essay identifies which types of issues are likely to receive…
Descriptors: Educational Research, Business Administration Education, Journal Articles, Statistical Analysis
Buckley, Jeffrey; Hyland, Tomás; Seery, Niall – International Journal of Technology and Design Education, 2023
Technology education research is a growing field, with the rate of growth increasing over the last 2 decades. As the field grows, it is paramount that credibility is maintained in published findings. To date there is no evidence to suggest a lack trust is warranted, however in the midst of the replication crisis there is need to ensure continued…
Descriptors: Technology Education, Educational Research, Replication (Evaluation), Credibility
Sims, Sam; Anders, Jake; Inglis, Matthew; Lortie-Forgues, Hugues – Journal of Research on Educational Effectiveness, 2023
Randomized controlled trials have proliferated in education, in part because they provide an unbiased estimator for the causal impact of interventions. It is increasingly recognized that many such trials in education have low power to detect an effect if indeed there is one. However, it is less well known that low powered trials tend to…
Descriptors: Randomized Controlled Trials, Educational Research, Effect Size, Intervention
Russell, Michael; Oddleifson, Carly; Russell Kish, Micayla; Kaplan, Larry – Practical Assessment, Research & Evaluation, 2022
The deficit narrative is a critical component of the white racial frame and attributes disparate outcomes to the racialized groups themselves rather than the policies and actions that create conditions that produce these disparities. Educational research that employs racialized groups as a variable in quantitative research holds potential to…
Descriptors: Educational Research, Statistical Analysis, Racism, Racial Differences
Grund, Simon; Lüdtke, Oliver; Robitzsch, Alexander – Journal of Educational and Behavioral Statistics, 2023
Multiple imputation (MI) is a popular method for handling missing data. In education research, it can be challenging to use MI because the data often have a clustered structure that need to be accommodated during MI. Although much research has considered applications of MI in hierarchical data, little is known about its use in cross-classified…
Descriptors: Educational Research, Data Analysis, Error of Measurement, Computation
Bulus, Metin; Koyuncu, Ilhan – Participatory Educational Research, 2021
This study systematically reviews randomly selected 155 experimental studies in education field originated in the Republic of Turkey between 2010 and 2020. Indiscriminate choice of sample size in recent publications prompted us to evaluate their statistical power and precision. First, above and beyond our review, we could not identify any…
Descriptors: Foreign Countries, Educational Research, Statistical Analysis, Sample Size
Simpson, Adrian – Journal of Research on Educational Effectiveness, 2023
Evidence-based education aims to support policy makers choosing between potential interventions. This rarely involves considering each in isolation; instead, sets of evidence regarding many potential policy interventions are considered. Filtering a set on any quantity measured with error risks the "winner's curse": conditional on…
Descriptors: Effect Size, Educational Research, Evidence Based Practice, Foreign Countries
Feller, Avi; Stuart, Elizabeth A. – Journal of Research on Educational Effectiveness, 2021
Panel data methods, which include difference-in-differences and comparative interrupted time series, have become increasingly common in education policy research. The key idea is to use variation across time and space (e.g., school districts) to estimate the effects of policy or programmatic changes that happen in some localities but not others.…
Descriptors: COVID-19, Pandemics, Educational Policy, Statistical Analysis
Feller, Avi; Stuart, Elizabeth A. – Grantee Submission, 2021
Panel data methods, which include difference-in-differences and comparative interrupted time series, have become increasingly com- mon in education policy research. The key idea is to use variation across time and space (e.g., school districts) to estimate the effects of policy or programmatic changes that happen in some localities but not others.…
Descriptors: COVID-19, Pandemics, Educational Policy, Statistical Analysis
Seah, Wee Tiong; Wong, Ngai-Ying – Journal of Pedagogical Research, 2019
This paper discusses some of the recurrent issues which the authors have noticed in educational research. These might be concerned with the nature of social science research, such as its representation of the reality of student learning, the role for replication studies, and the tolerance for disagreements. There are also issues related to the…
Descriptors: Educational Research, Research Problems, Replication (Evaluation), Mixed Methods Research
Seah, Wee Tiong; Wong, Ngai-Ying – Online Submission, 2019
This paper discusses some of the recurrent issues which the authors have noticed in educational research. These might be concerned with the nature of social science research, such as its representation of the reality of student learning, the role for replication studies, and the tolerance for disagreements. There are also issues related to the…
Descriptors: Educational Research, Research Problems, Mixed Methods Research, Qualitative Research
Bash, Kirstie L.; Howell Smith, Michelle C.; Trantham, Pam S. – Journal of Mixed Methods Research, 2021
The use of advanced quantitative methods within mixed methods research has been investigated in a limited capacity. In particular, hierarchical linear models are a popular approach to account for multilevel data, such as students within schools, but its use and value as the quantitative strand in a mixed methods study remains unknown. This article…
Descriptors: Hierarchical Linear Modeling, Mixed Methods Research, Research Design, Statistical Analysis
Two-Phase Study Examining Perspectives and Use of Quantitative Methods in Physics Education Research
Knaub, Alexis V.; Aiken, John M.; Ding, Lin – Physical Review Physics Education Research, 2019
While other fields such as statistics and education have examined various issues with quantitative work, few studies in physics education research (PER) have done so. We conducted a two-phase study to identify and to understand the extent of these issues in quantitative PER. During phase 1, we conducted a focus group of three experts in this area,…
Descriptors: Physics, Educational Research, Research Methodology, Science Education
Kiranli Güngör, Semra; Aydin, Gizem – European Journal of Educational Research, 2019
This research study aims to evaluate the graduate theses and articles conducted on the concept of instructional leadership over the period between 2002 and 2017 in Turkey by means of methodological and statistical analysis techniques. In the study, which is configured by using the case study design as one of the qualitative research methods, the…
Descriptors: Foreign Countries, Instructional Leadership, Educational Research, Graduate Students
Everson, Kimberlee C. – Review of Educational Research, 2017
Value-added estimates of teacher or school quality are increasingly used for both high- and low-stakes accountability purposes, making understanding of their limitations critical. A review of the recent value-added literature suggests three concerns with the state of the research. First, the issues receiving the most research attention have not…
Descriptors: Value Added Models, Accountability, Educational Research, Research Problems